Jingyu Hua

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #30,842 of 35,345 by trust here, #34,213 by citations
• Privacy & Security — 16 citations into it
• Statistics and Probability — 7 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Jingyu Hua trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kamalika Chaudhuri
2. Cynthia Dwork
3. Claire Monteleoni
4. Frank McSherry
5. Kobbi Nissim
6. John F. Canny
7. Adam D. Smith
8. Anand D. Sarwate
9. Arun Rajkumar

Who trusts Jingyu Hua overall

1. Jing Ma
2. Chaochao Chen
3. Yatharth Dubey
4. Alisa Chang
5. Bingzhe Wu

Papers from Jingyu Hua's perspective

Ordered by how strongly the researchers Jingyu Hua trusts endorse each paper. Same corpus, a different order for every researcher.

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differentially Private Empirical Risk Minimization
3. Privacy-preserving logistic regression
4. Differential Privacy
5. Differentially private recommender systems: building privacy into the net
6. A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
7. Privacy, accuracy, and consistency too: a holistic solution to contingency table release
8. Differentially private data release for data mining
9. Towards Sharp Inapproximability For Any 2-CSP
10. Practical privacy: the SuLQ framework

Their papers

• Distributed K-Means clustering guaranteeing local differential privacy (2020) — 70 citations
• Differentially Private Matrix Factorization (2015) — 97 citations